# 3D Conversion

TRELLIS 3D AI
TRELLIS 3D AI
TRELLIS 3D AI is a professional tool that utilizes artificial intelligence technology to convert images into 3D assets. By combining advanced neural networks with Structured Latents (SLAT) technology, it preserves the structural integrity and visual details of input images to generate high-quality 3D assets. Background information indicates that TRELLIS 3D AI is trusted by professionals worldwide for reliable image-to-3D asset conversion. Unlike traditional 3D modeling tools, TRELLIS 3D AI offers a straightforward image-to-3D asset conversion process without the need for complex operations. The product is free of charge, ideal for users who need quick and efficient generation of 3D assets.
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StereoCrafter
Stereocrafter
StereoCrafter is an innovative framework that employs foundational models as priors, utilizing depth estimation and stereo video reconstruction techniques to transform 2D videos into immersive stereo 3D experiences. This technology overcomes the limitations of traditional methods, enhancing the high-fidelity generation performance required by display devices. Key advantages of StereoCrafter include its ability to process video inputs of varying lengths and resolutions, as well as optimizing video processing through autoregressive strategies and chunk processing. Additionally, StereoCrafter has developed complex data processing workflows to reconstruct large-scale, high-quality datasets that support the training process. This framework provides practical solutions for creating immersive content for 3D devices such as Apple Vision Pro and 3D monitors, potentially revolutionizing how we experience digital media.
Video Production
65.4K
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Tencent Hunyuan Image 2.0 is Tencent's latest released AI image generation model, significantly improving generation speed and image quality. With a super-high compression ratio codec and new diffusion architecture, image generation speed can reach milliseconds, avoiding the waiting time of traditional generation. At the same time, the model improves the realism and detail representation of images through the combination of reinforcement learning algorithms and human aesthetic knowledge, suitable for professional users such as designers and creators.
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